DAE Tools 1.9.0 released ^{(Blog Post)}
The new version brings an improved support for the OpenCS framework, OpenCS Python wrappers (pyOpenCS module), new OpenCS code generator, reduced memory requirements, single step integration mode and updated support for macOS.
Last updated: 2019-04-01

DAE Tools 1.7.2 released ^{(Blog Post)}
The new version brings updates to the co-simulation support (Functional Mock-up Interface, FMI) and simplified execution of simulations/optimisations.
Last updated: 2017-08-30

DAE Tools 1.7.2 updated ^{(Blog Post)}
Windows 64 bit version available. Intel Pardiso solver available on win32, win64 and GNU/Linux x86_64. Updated FMI code generator and all data reporters. Install script (setup.py) now uses setuptools (not distutils).
Last updated: 2017-09-12

DAE Tools 1.7.1 released ^{(Blog Post)}
The new version brings many important new features: - Equation residuals/derivatives can be calculated in parallel using the OpenMP interface - Assembly of Finite Element matrices can be performed in parallel using the OpenMP interface - Implemented high resolution upwind schemes with flux limiter - Added global Sensitivity Analysis capabilities (Morris screening, FAST/Sobol variance-based methods) - Added formal Code Verification tests (the Method of Exact Solutions and the Method of Manufactured Solutions) - Updated documentation - Many other new features and fixes
Last updated: 2017-08-18

DAE Tools 1.7.0 released ^{(Blog Post)}
The new version provides a support for thermophysical property packages and brings updates to the sensitivity analysis capabilities. MacOS version is again available. User Guide updated with new sections. Several new features added.
Last updated: 2017-06-05

DAE Tools 1.8.1 released ^{(Blog Post)}
The new version brings the support for the Open Compute Stack (OpenCS) framework and fully working iterative linear solvers (Sundials and Trilinos AztecOO GMRES).
Last updated: 2018-08-22

DAE Tools 2.0.0 released ^{(Blog Post)}
The maintenance release. The new version brings DAE Tools and OpenCS support for Python 3.10.
Last updated: 2023-01-19

DAE Tools 2.5.0 released ^{(Blog Post)}
The maintenance release. The new version brings support for PyQt6, Python 3.13 and OpenCS 2.5.0.
Last updated: 2025-05-30

OpenCS 2.5.0 released ^{(Blog Post)}
The maintenance release. The new version brings support for python 3.13.
Last updated: 2025-05-30

OpenCS 1.2.0 released ^{(Blog Post)}
The maintenance release. The new version compiled using the recent compilers and brings the updated libraries.
Last updated: 2023-01-21

DAE Tools 2.1.0 ^{(Blog Post)}
The maintenance release. The new version brings the latest version of solvers (IDAS) and OpenCS.
Last updated: 2023-02-08

OpenCS 2.2.0 released ^{(Blog Post)}
The new version introduces explicitly vectorised equation kernels, OpenCL group- and kernel-based evaluators.
Last updated: 2023-06-07

DAE Tools and OpenCS 2.6.0 released ^{(Blog Post)}
The maintenance release. The new version brings support for Python 3.14.
Last updated: 3 days ago

OpenCS 2.0.0 released ^{(Blog Post)}
The major revision of the Compute Stack Machine. The new version brings the latest versions of numerical solvers (IDAS and CVodes), reduction of the instruction byte code size for 40%, support for equation kernels and groups of equations, and a more efficient method to specify equations.
Last updated: 2023-02-08

DAE Tools 2.2.0 released ^{(Blog Post)}
The maintenance release. The new version brings support for Python 3.11 and OpenCS 2.2.0.
Last updated: 2023-06-07

OpenCS 2.1.0 released ^{(Blog Post)}
The major revision of the OpenCS. The new version introduces the concept of equation groups and equation kernels. Kernel equation bring performance improvement of one order of magnitude (in average). New features: Models can contain a coupled set of kernel equations and auxiliary equations. All equations must belong to one of equation groups or kernels. Auxiliary equations must be placed into a single or multiple groups of equations. Kernels by default represent a group of equations. Compute Stack Evaluators now operate on groups of equations (or kernels), not the range of equations. Kernels generate source code in C++ (shared library kernels) and OpenCL. The source code for shared library kernels is automatically compiled (CMake-based build). Known issues: Kernel OpenCL evaluator and partitioning group-/kernel-based models might not function as expected.
Last updated: 2023-05-02

OpenCS 1.1.0 released ^{(Blog Post)}
The major revision of the OpenCS framework. The new version brings an improved Compute Stack Machine implementation and OpenCS API, OpenCS Python wrappers and python examples and improved error handling.
Last updated: 2019-04-01

OpenCS 1.0.0 released ^{(Blog Post)}
The first release of the Open Compute Stack (OpenCS) framework. OpenCS is a framework for modelling of large scale ODE/DAE systems, parallel evaluation of model equations and parallel simulations on shared and distributed memory systems. The framework provides a platform-independent binary interface for model-exchange with the data structures to describe, store in computer memory and evaluate large scale ODE/DAE systems of equations. Model equations are specified in the Reverse Polish (postfix) notation as an array of binary data (a Compute Stack) for direct evaluation by simulators on all platforms/operating systems (including heterogeneous systems) with no additional processing nor compilation steps.
Last updated: 2018-08-22

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